{"id":4971,"date":"2024-08-01T10:00:16","date_gmt":"2024-08-01T14:00:16","guid":{"rendered":"https:\/\/cytel.agencyukdev.com\/?post_type=perspectives&#038;p=4971"},"modified":"2024-08-06T06:48:19","modified_gmt":"2024-08-06T10:48:19","slug":"the-role-of-external-data-in-oncology-drug-development","status":"publish","type":"perspectives","link":"https:\/\/cytel.agencyukdev.com\/fr\/perspectives\/the-role-of-external-data-in-oncology-drug-development\/","title":{"rendered":"The Role of External Data in Oncology Drug Development"},"content":{"rendered":"<p><em>Written by Natalia Muhlemann, Grace Hsu, and Evie Merinopoulou.\u00a0<\/em><\/p>\n<p><span class=\"TextRun SCXW467639 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW467639 BCX0\">Randomized controlled trials (RCTs) remain the gold standard for <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">the <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">evaluation of <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">the safety and effectiveness of <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">a new treatment. However, in <\/span><span class=\"NormalTextRun AdvancedProofingIssueV2Themed SCXW467639 BCX0\">a number of<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> cases alternative approaches <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">leveraging<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> external data<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> (i.e., data from outside of a clinical trial)<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> \u2014\u00a0<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">ranging from single arm trials to augmented RCT<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">s \u2014<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">\u00a0<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">can be <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">appropriate<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">. <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">Here<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">,<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> we discuss <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">how to <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">leverage<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> and incorporat<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">e<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> external data in<\/span> <span class=\"NormalTextRun SCXW467639 BCX0\">drug development<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">,<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> focusing on the<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> us<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">e of<\/span><span class=\"NormalTextRun SCXW467639 BCX0\"> external <\/span><span class=\"NormalTextRun SCXW467639 BCX0\">control arms and Bayesian borrowing<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">.\u00a0<\/span><span class=\"NormalTextRun SCXW467639 BCX0\">\u00a0<\/span><\/span><span class=\"EOP SCXW467639 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><!--more--><\/p>\n<h2><span class=\"TextRun SCXW15250065 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW15250065 BCX0\">Use of external data in drug development<\/span><\/span><span class=\"EOP SCXW15250065 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">In early phases of drug development, single arm trials with <a href=\"https:\/\/cytel.agencyukdev.com\/solutions\/specialty-areas\/external-control-arms\/\" target=\"_blank\" rel=\"noopener\">external controls<\/a>\/comparisons can be used for efficacy signal-finding or dose selection to inform internal decision-making. Single arm trials with external control or augmented trials can be used in later phases for e<\/span><span data-contrast=\"auto\">stablishing natural history of disease, isolation of treatment effect or supportive comparative efficacy.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">For example, in <a href=\"https:\/\/cytel.agencyukdev.com\/solutions\/specialty-areas\/rare-diseases\/\">rare diseases<\/a>, rare genetic subtypes of a disease, or in a debilitating and life threating disease, it may be not feasible or ethical to enroll the number of patients required for a conventional well-powered RCT. In the post-approval setting, studies with external controls can be used for comparative effectiveness to inform reimbursement decisions and clinical guidelines.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><span class=\"TextRun SCXW236804537 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW236804537 BCX0\">Multi-step process to incorporate external data<\/span><\/span><span class=\"EOP SCXW236804537 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/h2>\n<p><span data-contrast=\"auto\">Leveraging external data in drug development requires thoughtful evaluation and planning.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">To begin, define the key objectives and assess the clinical rationale by asking the following questions:<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Can the clinical research objectives be reasonably achieved with a traditional RCT?\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Is it ethical and feasible to randomize patients to a control arm?\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"3\" data-aria-level=\"1\"><span data-contrast=\"auto\">Is it feasible to enroll the number of patients required for a powered RCT?\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"14\" data-list-defn-props=\"{&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Symbol&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;\uf0b7&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"4\" data-aria-level=\"1\"><span data-contrast=\"auto\">Is it feasible for patients to complete the required follow-up period?\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><span data-contrast=\"auto\">The next key question is whether external data are available and fit-for-purpose. If available, integrating external data requires developing a clinical trial protocol and a detailed statistical analysis plan. It is recommended to engage with regulatory authorities to align on these approaches prior to the study initiation.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<h2>Augmented RCTs<\/h2>\n<p><span data-contrast=\"auto\">In the context of clinical trials, borrowing means the use of external data (external with respect to data generated within the trial) to perform statistical inference or make decisions. Borrowing for a control arm is sometimes used in clinical trials as an effective means to reduce the number of patients randomized to the control arm. Single-arm trials are an extreme example of borrowing (100% borrowing); however, the absence of randomization can introduce bias. Therefore, concurrent randomization alongside borrowing could be a more appropriate strategy.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The <a href=\"https:\/\/cytel.agencyukdev.com\/bayesian-trial-designs\/\" target=\"_blank\" rel=\"noopener\">Bayesian<\/a> framework provides methods for different types of borrowing: <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"6\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"0\" data-aria-level=\"1\"><span data-contrast=\"auto\">Borrowing from data that is external to current trial. It can be applied to a wide range of trials and is based on the use of external data summarized in the form of informative prior.\u00a0 <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"6\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Borrowing from other arms\/periods within the same treatment, as seen in Basket trials that investigate a drug across multiple indications.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/li>\n<\/ul>\n<ul>\n<li data-leveltext=\"-\" data-font=\"Aptos\" data-listid=\"6\" data-list-defn-props=\"{&quot;335551671&quot;:0,&quot;335552541&quot;:1,&quot;335559685&quot;:720,&quot;335559991&quot;:360,&quot;469769226&quot;:&quot;Aptos&quot;,&quot;469769242&quot;:[8226],&quot;469777803&quot;:&quot;left&quot;,&quot;469777804&quot;:&quot;-&quot;,&quot;469777815&quot;:&quot;hybridMultilevel&quot;}\" aria-setsize=\"-1\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Borrowing from other treatment arms and periods; mainly used in <a href=\"https:\/\/cytel.agencyukdev.com\/perspectives\/understanding-the-economic-benefits-of-platform-trials\/\" target=\"_blank\" rel=\"noopener\">Platform trials<\/a>.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Data from other RCTs, natural history studies, <a href=\"https:\/\/cytel.agencyukdev.com\/solutions\/rwe-solutions\/real-world-data\/\" target=\"_blank\" rel=\"noopener\">real-world data<\/a>, and other external data can be summarized in the form of informative prior including robust meta-analytic predictive priors, power priors, and commensurate priors.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">The robustification of prior helps to reduce bias in case of prior-data conflict \u2014 a mismatch between the current trial data and external data. This robustification can be achieved by adding the non-informative component with weights which are determined to obtain desirable frequentists type I error. Thereby, the effective sample size of the historical data is controlled via robustification. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>External Control Arms\u00a0<\/b><\/h2>\n<p><span data-contrast=\"auto\">For regulatory submissions, comparisons that are not available as randomized clinical trials can be made through careful harmonization, patient selection, and adjustment for confounding factors. Comparisons with single-arm trials are used for rare diseases, accelerated approval, comparisons using non-randomized study arms, and comparisons with different or changing standards of care.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_4972\" style=\"width: 543px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-1.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-4972\" class=\"wp-image-4972 size-full\" src=\"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-1.jpg\" alt=\"\" width=\"533\" height=\"579\" srcset=\"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-1.jpg 533w, https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-1-276x300.jpg 276w, https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-1-473x514.jpg 473w\" sizes=\"auto, (max-width: 533px) 100vw, 533px\" \/><\/a><p id=\"caption-attachment-4972\" class=\"wp-caption-text\">Fig 1: ECA Analysis Procedure Overview<\/p><\/div>\n<p>&nbsp;<\/p>\n<p><span data-contrast=\"auto\">Several adjustment methods can be used to achieve balance between cohorts, such as matching or using weights to create a population where the distribution of measured baseline covariates is independent of treatment assignment. These methods are often based on the propensity score (probability of treatment assignment conditional on observed covariates).\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><i><span data-contrast=\"auto\">Click <a href=\"https:\/\/cytel.agencyukdev.com\/perspectives\/early-planning-strategies-for-external-control-arms-in-hta-and-regulatory-submissions\/\" target=\"_blank\" rel=\"noopener\">here<\/a> to read our previous blog to learn more. <\/span><\/i><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">Additionally, when sample sizes are limited, <a href=\"https:\/\/cytel.agencyukdev.com\/perspectives\/bayesian-strategies-in-rare-diseases\/\" target=\"_blank\" rel=\"noopener\">Bayesian<\/a> borrowing can be employed to supplement target cohorts in an external control arm comparison using <span class=\"TextRun SCXW82420990 BCX0\" lang=\"EN-IN\" xml:lang=\"EN-IN\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW82420990 BCX0\">additional<\/span><span class=\"NormalTextRun SCXW82420990 BCX0\"> data sources<\/span><span class=\"NormalTextRun SCXW82420990 BCX0\">.<\/span><\/span><span class=\"TextRun Endnote BlobObject DragDrop SCXW82420990 BCX0\" lang=\"EN-IN\" xml:lang=\"EN-IN\" data-contrast=\"auto\"><span class=\"Superscript SCXW82420990 BCX0\" data-fontsize=\"11\">\u00b9<\/span><\/span> The advantage of Bayesian borrowing for external control arms is its potential to increase the power and precision of the target comparison. It addresses a commonly encountered scenario where no single fit-for-purpose data source has a large pool of eligible patients, necessitating the use of multiple data sources, each with their distinct advantages and disadvantages. Concepts regarding the specification of priors are analogous to those described in the previous section. <\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-contrast=\"auto\">As with ECAs, whether a comparison can \u201cemulate\u201d an RCT depends on multiple factors, from the data to the methodology, and understanding of the therapeutic area or indication. Thus, great care should be exercised when designing such analyses, with appropriate caution in interpreting the results in the context of any challenges in the study.\u00a0<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<h2><b><span data-contrast=\"auto\">Quantitative bias analysis: A key component for reliable external comparisons<\/span><\/b><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/h2>\n<p><b><span data-contrast=\"auto\">Quantitative bias analysis (<a href=\"https:\/\/cytel.agencyukdev.com\/?publication=quantitative-bias-analysis-for-external-control-arms-using-real-world-data-in-clinical-trials-a-primer-for-clinical-researchers-thorlund-k-duffield-s-popat-s-ramagopalan-s-gupta-a-hsu-g-arora\" target=\"_blank\" rel=\"noopener\">QBA<\/a>) <\/span><\/b><span data-contrast=\"auto\">is a set of statistical techniques used to assess the potential impact of a wide range of systematic errors (biases) on the results of a research study. QBA goes beyond simply acknowledging the possibility or qualitative descriptions of bias; it allows researchers to quantify the magnitude and direction of the bias, giving a far more complete and nuanced picture of the uncertainty associated with a study.<\/span><span data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<div id=\"attachment_4973\" style=\"width: 1034px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-2.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-4973\" class=\"wp-image-4973 size-large\" src=\"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-2-1024x458.jpg\" alt=\"\" width=\"1024\" height=\"458\" srcset=\"https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-2-1024x458.jpg 1024w, https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-2-300x134.jpg 300w, https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-2-473x212.jpg 473w, https:\/\/cytel.agencyukdev.com\/wp-content\/uploads\/2024\/08\/ECA-Blog-graphic-2.jpg 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/a><p id=\"caption-attachment-4973\" class=\"wp-caption-text\">Fig 2: Concepts for Addressing Bias<\/p><\/div>\n<p>&nbsp;<\/p>\n<p>Figure 2 shows two general concepts in QBA in a common scenario where the hazard ratio (HR) is being estimated, and there are both measured confounders and known unmeasured confounders. External adjustment (left) refers to methods that incorporate the effect of unmeasured confounders in the HR estimate. Tipping point analysis (right) refers to QBAs where after adjusting for measured confounders and estimating the HR, the strength of confounding required to tip the HR to 1 (either point estimate or upper confidence interval) is quantified. The plausibility of such scenarios would then be evaluated.<\/p>\n<p>Click <a href=\"https:\/\/cytel.agencyukdev.com\/perspectives\/quantifying-uncertainty-in-rwe-studies-with-quantitative-bias-analysis\/\" target=\"_blank\" rel=\"noopener\">here<\/a> to read our previous blog to learn more.<\/p>\n<p>&nbsp;<\/p>\n<h2>External Data Strategy<\/h2>\n<p>Different types of external data sources can be used in clinical trials, including:<\/p>\n<ul>\n<li>Randomized clinical trials: Comparator or placebo groups from trials with very similar design, inclusion criteria and endpoints.<\/li>\n<li>Real-world data: Electronic health record databases, administrative claims, registries or prospective cohorts and retrospective studies.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p>Historical and contemporaneous controls could be used as well. A historical control (based on data from patients treated earlier) may be appropriate when standards of care are well-defined and disease management and outcomes have remained stable over time. Contemporaneous controls (based on concurrent data with the data from the clinical trial) are more suitable for rapidly developing areas of standards of care where management is changing.<\/p>\n<p>It is important to plan a thorough fit-for-purpose assessment. Formal guidance on the use of external controls issued by regulatory and health technology assessment bodies emphasizes the need for a systematic and transparent process for data identification and selection, and the use of data suitability and reporting frameworks, such as SPIFD\u00b2 or DataSAT\u00b3 , is strongly encouraged.<\/p>\n<p>Detailed clinical data are needed for building external comparators in <a href=\"https:\/\/cytel.agencyukdev.com\/solutions\/specialty-areas\/oncology\/\" target=\"_blank\" rel=\"noopener\">oncology<\/a> and rare diseases, for example, genetic biomarker data or data on disease progression and response. Advances in data technology, such as linkage through tokenization and the increasing use of clinical artificial intelligence and large language models that extract data from unstructured physician notes, have enabled the building of comprehensive datasets for the identification of narrow patient cohorts that match clinical trial participants. Current fit-for-purpose data strategies should allow for these new technologies to be considered, although further formal guidance from decision making bodies is needed.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>References:<\/strong><\/p>\n<p>[1] <a href=\"https:\/\/becarispublishing.com\/doi\/10.57264\/cer-2023-0175\" target=\"_blank\" rel=\"noopener\">https:\/\/becarispublishing.com\/doi\/10.57264\/cer-2023-0175<\/a><\/p>\n<p>[2] <a href=\"https:\/\/www.fda.gov\/regulatory-information\/search-fda-guidance-documents\/considerations-design-and-conduct-externally-controlled-trials-drug-and-biological-products\" target=\"_blank\" rel=\"noopener\">https:\/\/www.fda.gov\/regulatory-information\/search-fda-guidance-documents\/considerations-design-and-conduct-externally-controlled-trials-drug-and-biological-products<\/a><\/p>\n<p>[3] <a href=\"https:\/\/www.nice.org.uk\/corporate\/ecd9\/chapter\/appendix-1-data-suitability-assessment-tool-datasat\" target=\"_blank\" rel=\"noopener\">https:\/\/www.nice.org.uk\/corporate\/ecd9\/chapter\/appendix-1-data-suitability-assessment-tool-datasat<\/a><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p><span class=\"TextRun SCXW255400636 BCX0\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW255400636 BCX0\">ECAs have been widely applied in oncology and rare indications to contextualize evidence from single-arm trials in regulatory and HTA submissions. <\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">Bayesian borrowing methods can be used to reduce the sample size of a control arm, allowing the randomization of more patients to the active treatment, and can also be used to combine multiple data sources into a single control arm.<\/span> <span class=\"NormalTextRun SCXW255400636 BCX0\">In <\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">our on-demand<\/span> <span class=\"NormalTextRun SCXW255400636 BCX0\">webinar<\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">, <\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">we<\/span><span class=\"NormalTextRun SCXW255400636 BCX0\"> discuss <\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">the <\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">uses of ECAs and Bayesian borrowing alongside the product <\/span><span class=\"NormalTextRun SCXW255400636 BCX0\">lifecycle<\/span><span class=\"NormalTextRun SCXW255400636 BCX0\"> from clinical development to HTA applications.<\/span><\/span><span class=\"EOP SCXW255400636 BCX0\" data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259,&quot;469777462&quot;:[720],&quot;469777927&quot;:[0],&quot;469777928&quot;:[8]}\">\u00a0<\/span><\/p>\n","protected":false},"featured_media":0,"parent":0,"template":"","meta":{"_acf_changed":false},"tags":[76],"by-topic":[460,434,448,436,462],"by-year":[74],"class_list":["post-4971","perspectives","type-perspectives","status-publish","hentry","tag-blog","by-topic-basket-trials","by-topic-bayesian-methods","by-topic-external-control-arms","by-topic-oncology","by-topic-platform-trials","by-year-74"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Role of External Data in Oncology Drug Development - Clinical Trial Software &amp; 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